| Peer-Reviewed

Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles

Received: 25 July 2017     Accepted: 10 August 2017     Published: 1 September 2017
Views:       Downloads:
Abstract

One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.

Published in American Journal of Traffic and Transportation Engineering (Volume 2, Issue 4)
DOI 10.11648/j.ajtte.20170204.12
Page(s) 45-58
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Embedded System, Drunk-Driver detection, Location Tracking, Semiconductor Alcohol Gas Sensor, Short Message Communication

References
[1] Y. Wang and Hui Qi, “Research of Intelligent Transportation System Based on the Internet of Things Frame”, Wireless Engineering and Technology, vol.3, 2012, pp. 160-166.
[2] L. Ward and M. Siman, “Intelligent Transportation System using IEEE 802.11p: Application notes, Rohde & Schwarz, vol.6, 2015, pp.1-32.
[3] M. Bommes, A. Fazekas, T. Volkenhoff, M. Oeser, “Video based Intelligent Transportation Systems – state of the art and future development”, Transportation Research Procedia, vol.14, 2016, pp. 4495 – 4504.
[4] Ministry of transport, “Report on Intelligent transportation system (ITS)”, Ministry of transport, New Zealand Government April 2017. [online] www.transport.goct.nz/ourwork/technology/intelligenttansportationsystem
[5] M. Andersson, “Short-range low power wireless devices and Internet of Things (IoT)”, Digi-key Electronics, Jan 2014.
[6] G. Karagiannis, O. Altintas, E. Ekici, G. Heijenk, B. Jarupan, K. Lin, and T. Weil, “Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions”, IEEE Communication, survey and Tutorials, vol. 13, no. 4, 2011, pp. 584-616.
[7] H. Qin, Z. Li , Y. Wang , X. Lu , W. Zhang and G. Wang, “An Integrated Network of Roadside Sensors and Vehicles for Driving Safety: Concept, Design and Experiments, Proceedings IEEE Conference on Pervasive, Computing and Communications, March 2010, Mannheim, Germany.
[8] Janani. N and Saranya. N, “Driver Safety Awareness and Assistance System for Cognitive Vehicle Control”, Proceedings, International Conference on Advanced Communication Control and Computing Technologies, May 2014, Ramanathapuram, India.
[9] F. Paulbenjamin, N. Astoyao, R and Adjetey, “Design and Development of GSM/GPS based Vehicle Tracking and Alert System for Commercial Inter City Bus, IEEE 4th International Conference on Adaptive Science and Technology, 2012.
[10] S. P. Bhumkar, V. V. Deotare, and R. V. Babar, “Accident Avoidance and Detection on Highways”, International Journal of Engineering Trends and Technology, vol. 3, no. 2, 2011, pp. 247-249.
[11] K. V. Mutya and S. Rudra, “Road Safety Mechanism to Prevent Overtaking Accidents”, International Journal of Engineering Trends and Technology, vol. 28, no. 5, October 2015, pp. 219-222.
[12] A. Jazayeri, H. Cai, J. Y. Zheng amd M. Tuceryan, “Vehicle Detection and Tracking in Car Video Based on Motion Model”, IEEE Transaction on intelligent transportation system, vol. 12, no. 2, June 2011, pp 853-595.
[13] S. S. Pethakar, N. Srivastava and S. D. Suryawanshi, “RFID, GPS and GSM Based Vehicle Tracing and Employee Security System”, International Journal of Advanced Research in Computer Science and Electronics Engineering, vol. 1, no. 10, Dec 2012.
[14] P. Singh, T. Sethi, B. K. Balabantaray and B. B. Biswal, “Advanced Vehicle Security System”, IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems, 2015, pp1-6.
[15] J. Laukkonen, “GM's OnStar Service: How Does It Work?”, OnStar, April 2017 [online] https://www.lifewire.com/gms-onstar-service-534811
[16] Onstar, “Drive smarter and save”, 2017 [online] https://www.onstar.com/us/en/home.html
[17] P. Saxena, R. Pahuja, M. Singh Khurana and S. Satija, “Real-Time Fuel Quality Monitoring System for Smart Vehicles”, International Journal of Intelligent Systems and Applications, vol. 11, 2016, pp. 19-26.
[18] W. Fenlon, “10 Amazing Car Security Systems”, How Stuff Works Auto, 2017 [online] http://auto.howstuffworks.com/under-the-hood/aftermarket-accessories-customization/10-car-security-systems.htm
[19] National Crime Records Bureau (NCRB), “Accidental deaths and suicides in India 2014”, Ministry of Home Affairs, Govt. of India, 2015.
[20] D. Tiwary, “Drunk driving accidents in states: What numbers say”, The Indian Express, April 2017. [online] http://indianexpress.com/article/explained/drunk-driving-accidents-in-states-what-numbers-say-4599876/
[21] D. K. Dashi, “Drunk driving: Ministry, NCRB cite different figures”, The Times of India, April 2017.
[22] A. Dutta, “Drunk driving is a bigger problem than statistics show, The Hindu Business Line, April 2017.
[23] National Highway Traffic Safety Administration (NHTSA), Traffic Safety facts 2014: Alcohol impaired driving, 2015.
[24] K. Archbari, Drunk drivers DUI lawyers, 2016 [online] www.legalmatch.com/law-library/article/drunk-driving-duidwi.html
[25] Governors highway safety association, Alcohol impaired driving, 2017 [online] headquarters@ghsa.org
[26] A. W. Jones, “The Relationship between Blood Alcohol Concentration (BAC) and Breath Alcohol Concentration (BrAC): A Review of the Evidence”, National Board of Forensic Medicine, Linko¨ Ping, Sweden, June 2010, Road safety web publication No. 15, Department of Transport, Landon
[27] Stopdwi, “The Determinator II, Alcohol Detection Systems, USA, 2017. [online] www.stopdwi.com/our-devices/
[28] Intoxalock, Ignition interlock and drunk driving statistics, 2017 [online] http://www.intoxalock.com/ignition-interlock-devices/legacy
[29] Kozai, S., Takahashi, Y., Kida, A., Hiromitsu, T. et al., “Development of Automatic Braking System to Help Reduce Rear Impacts”, SAE Technical Paper 2017-01-1408
[30] Bosch, Airbag systems, Bosch Semiconductors and Sensors, 2017 [online] http://www.bosch-semiconductors.de/en/automotive_electronics/mems/airbagsystems_2/airbagsystems_.html
[31] J. H. Wang and Y. Gao, “Multi-sensor Data Fusion For Land Vehicle Attitude Estimation Using a Fuzzy Expert System”, Data Science Journal, vol. 4, 2005, pp. 127-139.
[32] M. Vegaga, DADSS: Technological Solution to eliminate drunk driving, 2010, NHTSA [online] http://www.unece.org/fileadmin/DAM/trans/doc/2010/wp1/WP1-59-Item3-USA-e.pdf
[33] P. H. Kulkarni, R. Wafgaonkar, S, S. Gujarathi, G. Ahirrao, “Alcohol Detection and Automatic Drunken Drive Avoiding,” Int. Journal of Engineering Research and Applications, vol. 4, no. 2, April 2104, pp 21-24.
[34] K. Sakakibara, T. Taguchi, A. Nakashima and T. Wakita, “Development of a New Breath Alcohol Detector Without Mouthpiece to Prevent Alcohol-impaired Driving”, Proceeding, IEEE International Conference on Vehicular Electronics and Safety, Sept. 2008, Columbus, OH, USA, pp 22-24.
[35] P. Baskett, Y. Shang, M. V. Patterson, T. Trull, “Towards A System for Body-Area Sensing and Detection of Alcohol Craving and Mood Dysregulation”, Proceeding, IEEE Conference on Consumer, Communication and Networking, 2013, Las Vegas, USA, pp 15-19.
[36] L. A. Navarro, M. A. Diño, E. Joson, R. Anacan and R. D. Cruz, “Design of Alcohol Detection System for Car Users thru Iris Recognition Pattern Using Wavelet Transform”, Proceeding, 7th IEEE International Conference on Intelligent Systems, Modelling and Simulation, 25-27 Jan. 2016, Bangkok, Thailand.
[37] V. Savania, H. Agravata and D. Patel, “Alcohol Detection and Accident Prevention of Vehicle”, International Journal of Innovative and Emerging Research in Engineering, vol. 2, no. 3, 2015, pp 52-58.
[38] S. Chauhan, “GSM Based Alcohol Detection for Vehicles”, International Journal of Research in Advanced Engineering and Technology, vol. 2, no. 6, November 2016, pp 23-25.
[39] M. Vaishnavi, V. Umadevi, Y. Bhaskar Rao, S, Pavithra, “Intelligent Alcohol Detection System for Car”, International Journal of Scientific and Engineering Research, vol. 05, no.11, Nov 2014.
[40] Sunrom, “Alcohol sensor module- MQ3 Datasheet”, Sunrom Electronics/ Technologies, 2017. [online] http://www. sunrom.com/alcohol-sensor-module-mq3
[41] Futurlec, Gas sensor, 2017. [online] http://www.futurlec.com/alcohol-sensor.html
[42] M. L. Bauersfeld, “Semiconductor Gas Sensor Using Thin and Thick Film Technology”, Fraunhofer Institute for Physical Measurement Techniques IPM, Germany, 2017.
[43] R. John, B. Balaguru and B. G. Jeyaprakash, “Mimic of a Gas sensor, Metal Oxide Gas Sensing Mechanism: Factors Influencing the Sensor Performance and Role of nanomaterials based gas sensors, NPTEL Electrical & Electronics Engineering – Semiconductor Nanodevices, 1-30.
[44] Seeed, “Grove - Gas Sensor, MQ3”, Seeed studio, 2015. [online] http://www.seeedstudio.com/wiki/Grove- Gas_Sensor(MQ3)
[45] Hanweli Electronics, “MQ3 Gas Sensor: Technical data”, Hanweli Electronics Co. Ltd., 2017. [online] http://www.hwsensor.com
[46] Arduino Uno, Overview and Technical specification, Radiospares, 2017 [online] http://www.arduino.com
[47] Atmel, High performance, 8-bit, low power microcontroller, Datasheet.
[48] B. Francis, “Arduino: The Complet Beginner's Guide”.
[49] Phoenix Secure, What is vehicle tracking, 2017. [online] http://www.phoenixsecure.in/vehicle-tracking.php
[50] P. Bertagna, “How does a GPS tracking system works”, EE Times, 2010.[online] http://www.eetimes.com
[51] Pircol, Vehicle tracking system, 2017. [online] www.piracl.com/?products=vehicle-tracking-syatem
[52] Circuit Digest, “Reading GPS data using computer and Arduino”, 2017.[online] https://circuitdigest.com/microcontroller-projects/reading-gps-data-using-computer-and-arduino
[53] Simcom, “SIM 900 AT command manual”, Shanghai SIM Com wireless Solutions Ltd., 2010.
[54] T. Aggarwal, “GSM-architecture, Features and Working”, Elprocus, 2015. [online] https://www. elprocus.com/gsm-architecture-features –working
[55] Circuit for you, “GSM Modem Interfacing with Arduino”, June 2016 [online] https://Circuit4you.com/2016/06/15/gsm-modem-interfacing-arduino/
[56] Instructables, “Interfacing SIM 900AGSM Modem with Arduino”, 2016 [online] www. instructables.com/id/Interfacing-SIM 900A-GSM
[57] R. Wagner, “Guide to Test Method, Performance Requirements and Installation Practices for Electronic Siren used on Law Enforcement Vehicles. National Institute of Justice, 2000.
[58] E. Verberne, “Arduino Documentation Open Source Hardware”, 2014.
Cite This Article
  • APA Style

    Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. (2017). Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. American Journal of Traffic and Transportation Engineering, 2(4), 45-58. https://doi.org/10.11648/j.ajtte.20170204.12

    Copy | Download

    ACS Style

    Rajesh Kumar Jakkar; Roop Pahuja; Raj Kumar Saini; Bhagirath Sahu; Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am. J. Traffic Transp. Eng. 2017, 2(4), 45-58. doi: 10.11648/j.ajtte.20170204.12

    Copy | Download

    AMA Style

    Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am J Traffic Transp Eng. 2017;2(4):45-58. doi: 10.11648/j.ajtte.20170204.12

    Copy | Download

  • @article{10.11648/j.ajtte.20170204.12,
      author = {Rajesh Kumar Jakkar and Roop Pahuja and Raj Kumar Saini and Bhagirath Sahu and Natwar},
      title = {Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles},
      journal = {American Journal of Traffic and Transportation Engineering},
      volume = {2},
      number = {4},
      pages = {45-58},
      doi = {10.11648/j.ajtte.20170204.12},
      url = {https://doi.org/10.11648/j.ajtte.20170204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20170204.12},
      abstract = {One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles
    AU  - Rajesh Kumar Jakkar
    AU  - Roop Pahuja
    AU  - Raj Kumar Saini
    AU  - Bhagirath Sahu
    AU  - Natwar
    Y1  - 2017/09/01
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajtte.20170204.12
    DO  - 10.11648/j.ajtte.20170204.12
    T2  - American Journal of Traffic and Transportation Engineering
    JF  - American Journal of Traffic and Transportation Engineering
    JO  - American Journal of Traffic and Transportation Engineering
    SP  - 45
    EP  - 58
    PB  - Science Publishing Group
    SN  - 2578-8604
    UR  - https://doi.org/10.11648/j.ajtte.20170204.12
    AB  - One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.
    VL  - 2
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

  • Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

  • Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

  • Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

  • Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

  • Sections